A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.
Report generated on 2024-10-24, 17:58 UTC based on data in:
/home/stephen/Desktop/alignment/work/01/73e5f8d68770ded42d80fe28752100/Sample4.json/home/stephen/Desktop/alignment/work/b4/4d89e382e6d63e7b00d2d16e0983ef/Sample2.json
General Statistics
| Sample Name | % Duplication | % > Q30 | Mb Q30 bases | Reads After Filtering | GC content | % PF | % Adapter |
|---|---|---|---|---|---|---|---|
| Sample2 | 0.0% | 92.8% | 11.3Mb | 0.2M | 38.2% | 100.0% | 0.0% |
| Sample4 | 0.0% | 92.8% | 11.3Mb | 0.2M | 38.2% | 100.0% | 0.0% |
fastp
All-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...).URL: https://github.com/OpenGene/fastpDOI: 10.1093/bioinformatics/bty560
Fastp goes through fastq files in a folder and perform a series of quality control and filtering. Quality control and reporting are displayed both before and after filtering, allowing for a clear depiction of the consequences of the filtering process. Notably, the latter can be conducted on a variety of parameters including quality scores, length, as well as the presence of adapters, polyG, or polyX tailing.Filtered Reads
Filtering statistics of sampled reads.
Duplication Rates
Duplication rates of sampled reads.
Insert Sizes
Insert size estimation of sampled reads.
Sequence Quality
Average sequencing quality over each base of all reads.
GC Content
Average GC content over each base of all reads.
N content
Average N content over each base of all reads.